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Author Details
Full Name
Joshua D Schaefferkoetter
Affiliation
Siemens Medical Solutions USA, Inc.
ORCID
Career Start Year
2013
Papers
28
H Index
12
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36933775
Comparison of quantitative parameters and radiomic features as inputs into machine learning models to predict the Gleason score of prostate cancer lesions.
Magn Reson Imaging
2023
37179930
Respiratory and cardiac motion correction in positron emission tomography using elastic motion approach for simultaneous abdomen and thorax positron emission tomography-magnetic resonance imaging.
Quant Imaging Med Surg
2023
36964404
Correction to: Deep learning for improving PET/CT attenuation correction by elastic registration of anatomical data.
Eur J Nucl Med Mol Imaging
2023
36882577
Deep learning for improving PET/CT attenuation correction by elastic registration of anatomical data.
Eur J Nucl Med Mol Imaging
2023
33341375
Validation of low-dose lung cancer PET-CT protocol and PET image improvement using machine learning.
Phys Med
2021
33579805
Quantitative <sup>68</sup>Ga-DOTATATE PET/CT Parameters for the Prediction of Therapy Response in Patients with Progressive Metastatic Neuroendocrine Tumors Treated with <sup>177</sup>Lu-DOTATATE.
J Nucl Med
2021
34754613
Reproducibility of FDG PET/CT image-based cancer staging and standardized uptake values with simulated reduction of injected FDG dose or acquisition time.
Am J Nucl Med Mol Imaging
2021
34021779
Deep learning for whole-body medical image generation.
Eur J Nucl Med Mol Imaging
2021
32454466
Data-driven respiratory gating based on localized diaphragm sensing in TOF PET.
Phys Med Biol
2020
33144873
Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images.
Comput Math Methods Med
2020
32674043
Supervised learning with cyclegan for low-dose FDG PET image denoising.
Med Image Anal
2020
32955669
Convolutional neural networks for improving image quality with noisy PET data.
EJNMMI Res
2020
32198311
<sup>18</sup>F-DCFPyL PET/CT in Patients with Subclinical Recurrence of Prostate Cancer: Effect of Lesion Size, Smoothing Filter, and Partial-Volume Correction on PROMISE Criteria.
J Nucl Med
2020
30929270
Low dose positron emission tomography emulation from decimated high statistics: A clinical validation study.
Med Phys
2019
29381803
Capsinoids activate brown adipose tissue (BAT) with increased energy expenditure associated with subthreshold 18-fluorine fluorodeoxyglucose uptake in BAT-positive humans confirmed by positron emission tomography scan.
Am J Clin Nutr
2018
27688481
Quantitative Accuracy and Lesion Detectability of Low-Dose <sup>18</sup>F-FDG PET for Lung Cancer Screening.
J Nucl Med
2017
28324340
Quantitative <sup>18</sup>F-fluorocholine positron emission tomography for prostate cancer: correlation between kinetic parameters and Gleason scoring.
EJNMMI Res
2017
29042469
The Importance of Quality Control for Clinical PET Imaging.
J Nucl Med Technol
2017
28646323
Erratum to: Quantitative 18F-fluorocholine positron emission tomography for prostate cancer: correlation between kinetic parameters and Gleason scoring.
EJNMMI Res
2017
27565136
A method to assess image quality for Low-dose PET: analysis of SNR, CNR, bias and image noise.
Cancer Imaging
2016
27760565
Erratum to: A method to assess image quality for Low-dose PET: analysis of SNR, CNR, bias and image noise.
Cancer Imaging
2016
25869746
Can 3'-Deoxy-3'-((18)F) Fluorothymidine Out Perform 2-Deoxy-2-((18)F) Fluoro-D-Glucose Positron Emission Tomography/Computed Tomography in the Diagnosis of Cervical Lymphadenopathy in Patients With Oral/Head and Neck Cancer?
J Oral Maxillofac Surg
2015
26134119
Initial assessment of image quality for low-dose PET: evaluation of lesion detectability.
Phys Med Biol
2015
24505429
Myocardial defect detection using PET-CT: phantom studies.
PLoS One
2014
25164868
Complementary frame reconstruction: a low-biased dynamic PET technique for low count density data in projection space.
Phys Med Biol
2014
24877836
Effect of time-of-flight and point spread function modeling on detectability of myocardial defects in PET.
Med Phys
2014
22742956
The use of multiple time point dynamic positron emission tomography/computed tomography in patients with oral/head and neck cancer does not predictably identify metastatic cervical lymph nodes.
J Oral Maxillofac Surg
2013
23403399
Clinical impact of time-of-flight and point response modeling in PET reconstructions: a lesion detection study.
Phys Med Biol
2013
1 - 28 of 28
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row(s) 1 - 30 of 30
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Sven Zuehlsdorff
Siemens Medical Solutions USA, Inc.
Co-authored papers
2
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University of Toronto, Princess Margaret Cancer Centre
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University of Massachusetts Chan School of Medicine
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Quanzheng Li
Massachusetts General Hospital
Co-authored papers
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Yothin Rakvongthai
Chulalongkorn University
Co-authored papers
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Bernhard O Boehm
Co-authored papers
1
Ning Guo
Beijing Tongren Hospital, Capital Medical University
Co-authored papers
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Kyungsang Kim
Massachusetts General Hospital
Co-authored papers
1
Sanghee Cho
Siemens Molecular Imaging
Co-authored papers
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1 - 11